WO2017003113A1 - Système pour la prévention de maladies de poissons plats par l'analyse de sons et d'images - Google Patents

Système pour la prévention de maladies de poissons plats par l'analyse de sons et d'images Download PDF

Info

Publication number
WO2017003113A1
WO2017003113A1 PCT/KR2016/006320 KR2016006320W WO2017003113A1 WO 2017003113 A1 WO2017003113 A1 WO 2017003113A1 KR 2016006320 W KR2016006320 W KR 2016006320W WO 2017003113 A1 WO2017003113 A1 WO 2017003113A1
Authority
WO
WIPO (PCT)
Prior art keywords
flounder
activity
information
disease
analysis
Prior art date
Application number
PCT/KR2016/006320
Other languages
English (en)
Korean (ko)
Inventor
김형수
Original Assignee
주식회사 글로비트
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 주식회사 글로비트 filed Critical 주식회사 글로비트
Publication of WO2017003113A1 publication Critical patent/WO2017003113A1/fr

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/02—Agriculture; Fishing; Forestry; Mining
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00—Television systems
    • H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast

Definitions

  • the present invention relates to a flounder disease prevention system through sound and image analysis, and more specifically, to extract the sound and image information according to the habit of the flounder in aquaculture tank, the feed activity, the amount of activity, the standard growth
  • the present invention relates to a flounder disease prevention system through sound and image analysis, which can analyze database information comprehensively, detect signs of disease, and enable early observation and coping of diseases in a corresponding tank.
  • the present invention is to catch the sound generated during the leap when hunting the flounder to set the food activity level through the voice analysis and judge the abnormal symptoms of the disease when the reference level or below, or the frequency of coming up on the surface of the flounder through CCTV Accordingly, the present invention relates to a flounder disease prevention system through acoustic and image analysis that can be quickly responded by observing abnormal symptoms of a disease.
  • the halibut (paralichthys olivaceus) is a predatory fish belonging to the predator's early river flounder flounder family. It lives mainly in the sea, and the body adapts to the environment under the sea and is flat. The body color is yellowish brown, which is indistinguishable from the sandy bottom. It is large in size and is about 1m long. Usually, females are about 10cm larger than males.
  • the edge of the body has a somewhat hard fin, with 77-81 on the dorsal side and 59-61 on the dorsal side.
  • the scales are very small and the lateral line starting near the pectoral fin consists of 107-120 scales.
  • the mouth is large and has sharp teeth, and the lower jaw sticks forward compared to the upper jaw.
  • a young flounder that wakes up two or three days after spawning floats in shallow waters and begins to grow at the bottom of the sea when it grows older. In childhood, they eat small shrimps or other fish, and when they grow, they eat crustaceans, mollusks, or small fish.
  • One side of the flounder, which is a characteristic of flounder, does not appear in childhood, but as it grows, the right eye gradually moves to the left.
  • aquaculture flounder is a world-class product designated item nurtured by the Ministry of Knowledge Economy, and a policy to promote representative organizations by item, which is one of the five future strategic tasks for strengthening the competitiveness of agriculture, forestry and fisheries promoted by the Ministry of Agriculture, Forestry and Fisheries. Corresponds to the items representing the fisheries industry.
  • advanced aquaculture technologies are established that can be stocked and shipped throughout the year.
  • the spawning season of the flounder in the natural state of Jeju Island is known to be in the resting state in April and June. Since the coast of Jeju Island has a long daylight cycle from early March to the end of September, and a single light cycle from late September to early March, the maturity of the flounder reproductive activity during the transition from single light cycle to long day cycle.
  • the spawning phase occurs during the long-daylight cycle and the genitals are at rest before the single-light cycle.
  • Jeju Island The coastline of Jeju Island is 253km in total and is composed mostly of volcanic rocks, and it is rich in various algae, so it has a very important position as a spawning ground and wintering ground for temperate marine fish.
  • the minimum water temperature in winter is 12 and the maximum water temperature in winter is 28 or less.
  • the present invention is to solve the above problems, by extracting the sound and image information according to the habit of the flounder in aquaculture tank comprehensively analyze the food activity, activity amount, standard growth database information according to the fed food symptoms of disease It is to provide a flounder disease prevention system through the acoustic and image analysis that can detect and cope with the disease early detection and response to the tank.
  • the present invention is to catch the sound generated during the leap when hunting the flounder to set the food activity level through the voice analysis and judge the abnormal symptoms of the disease when the reference level or below, or the frequency of coming up on the surface of the flounder through CCTV Accordingly, to provide a flounder disease prevention system through the acoustic and image analysis that can be quickly responded to by monitoring and monitoring the abnormal signs of the disease.
  • the flounder disease prevention system through the acoustic and image analysis according to the embodiment of the present invention, by using the ecological habits to jump near the water when hunting the prey of the flounder by gapping the sound generated when jumping over the water
  • a monitoring device that monitors the amount of activity of the flounder by analyzing or monitoring the tank through an underwater CCTV camera in the tank to track the occurrence of abnormal signs of the collected images; Food activity analysis information through voice analysis provided in the aquarium, storage of the flounder activity information according to abnormal symptoms, the status information of the disease diagnosis and prescription records, or the movement of the flounder according to the operation of each device for the prevention of flounder disease
  • a management server configured to provide a feeding amount according to a feeding activity measurement value of a feeding time, a feeding amount, and a feeding number of data according to a level value and a range of a movement of the up-value with respect to the analyzed acoustic signal when jumping.
  • the remote medical device in conjunction with the remote medical device through the remote control of the state of the flounder through the intensive observation through the photographing and additional diagnosis and prescription is required by dispatching the relevant managers for the condition of the flounder, request details It is characterized in that the configuration, including; a farm management information, remote management device to manage by filling the presence or absence of information on the tank.
  • the flounder disease prevention system through the sound and image analysis according to the present invention is based on the image collected through the movement monitoring and real-time monitoring of the tank using the underwater camera or CCTV of the monitoring device according to the different water environment in the growth of the flounder It is characterized in that it further comprises an early disease prediction and analysis device for analyzing disease diagnosis and prescription records in connection with information, food activity information, activity information, breeding information, feed rate statistics, standard growth.
  • the flounder disease prevention system through the acoustic and image analysis according to the present invention is segmented according to the amount of activity on the basis of the flounder status information on the audio signal and image information analyzed during the movement and leap of the flounder in the farm provided by the management server Check the flounder disease signs based on the level values, or compare and analyze the standard growth information and the actual growth information stored in the standard growth database to check the abnormality of the tank based on the feed intake and the difference according to the growth rate.
  • a user who can check the status information of the monitoring device, the presence or absence of the device of the audio analysis and video analysis provided from the management server at a distance through the communication network by operating an application (app) for the disease prevention control of the flounder Characterized in that it further comprises a terminal.
  • the flounder disease prevention system through the acoustic and image analysis according to the present invention
  • the voice analysis activity monitoring device using the ecological habits leap close to the surface during the hunting of the flounder prey to the sound generated by gapping the sound generated when jumping over the water surface
  • the level of the movement according to the activity of the flounder is determined, and the range is specified to monitor the presence of abnormality according to the activity level according to the level. It may be configured to further include an activity monitoring device It features.
  • the flounder disease prevention system through sound and image analysis according to an embodiment of the present invention, by extracting the sound and image information according to the habit of the flounder in the culture tank to feed the food activity, activity amount, standard growth database information Comprehensive analysis detects signs of the disease and provides the tank with the effect of early observation and response to the disease.
  • the flounder disease prevention system through the acoustic and image analysis according to an embodiment of the present invention, by capturing the sound generated during the leap when hunting for the flounder to set the food activity level through voice analysis and abnormality of the disease when the reference level or less Judgment by signs, or by monitoring the frequency of abnormal symptoms of the flounder according to the frequency of coming up over the surface of the flounder through CCTV provides an effect that can quickly respond.
  • the flounder disease prevention system through the acoustic and image analysis according to an embodiment of the present invention, measuring a variety of data such as environmental information, feed amount statistics, food activity level, activity information, breeding information of the tank according to the flounder culture Based on the analysis, the disease status can be identified and provided to experts to detect and diagnose diseases of fish from a remote location, so that data on disease history and prescriptions can be collected, and a large number of environmental and breeding information and fish object status information. In addition, through the establishment of disease diagnosis data through this, it is possible to generate standard data for other diseases.
  • the flounder disease prevention system through the acoustic and image analysis according to an embodiment of the present invention, the voice recognition and the object size through the image analysis in accordance with the detection of the amount of activity through the acoustic analysis and image information on the feeding of the flounder
  • a standard growth database of cultured flounder can be provided to provide efficient flounder disease prevention in the farm environment with the appropriate feeding amount per flat and the standard weight gain for a certain period.
  • the flounder disease prevention system through the acoustic and image analysis according to an embodiment of the present invention, by capturing the sound of the flounder jumping at the same time feeding the feed through the exact value of the feeding activity to determine the consistent criteria for feeding It is possible to calculate feed amount through presenting and feeding activity, and to provide efficient farm management through automatic feed amount data collection.
  • FIG. 1 is a view showing a configuration of the flounder disease prevention system through the acoustic and image analysis according to an embodiment of the present invention.
  • FIG. 2 is a state diagram of the flounder disease prevention system through sound and image analysis according to the present invention
  • FIG. 3 is a detailed configuration of the monitoring device of the flounder disease prevention system through the sound and image analysis according to FIG.
  • FIG. 4 is a block diagram showing the detailed configuration of the voice analysis activity amount device of the flounder disease prevention system through the acoustic and image analysis according to the present invention
  • FIG. 5 is a block diagram showing the detailed configuration of the image analysis activity monitoring device of the flounder disease prevention system through the sound and image analysis according to the present invention
  • the component when one component 'transmits' data or a signal to another component, the component may directly transmit the data or signal to another component, and through at least one other component. This means that data or signals can be transmitted to other components.
  • FIG. 1 shows a configuration of the flounder disease prevention system through sound and image analysis according to an embodiment of the present invention
  • Figure 2 shows a state diagram of the flounder disease prevention system through sound and image analysis according to the present invention.
  • the monitoring device 100 Early disease prediction and analysis device 200, management server 300, standard growth database 400, remote medical care device 500, remote management device 600, communication network 700, manager terminal 800 and user terminal 900.
  • the monitoring device 100 uses an ecological habit to leap near the surface of the flounder when hunting for prey to catch the sound generated when jumping over the water for voice analysis, or to monitor the water tank through an underwater CCTV camera in the tank. It is configured to monitor the activity of the flounder by tracking when abnormal symptoms occur.
  • the disease early prediction and analysis device 200 is based on the image collected through the movement monitoring and real-time monitoring of the water tank using the underwater camera or CCTV of the monitoring device 100, the other water environment information, food for the flounder growth Analyze disease diagnosis and prescription records by linking activity information, activity information, breeding information, feed statistics and standard growth.
  • the management server 300 is interlocked with the monitoring device 100, disease early prediction and analysis device 200, standard growth database 400 and remote medical device 500 and the communication network 700 provided in the fish farm tank Analysis of feeding activity analysis information through the analysis, image information of the flounder activity according to abnormal symptoms, the state information of the disease diagnosis and prescription records, or the sound analyzed during the movement and leap of the flounder according to the operation of each device for the prevention of flounder disease
  • the feeding amount is provided according to the feeding activity measurement value of the feeding time, the feeding amount, and the feeding count data
  • the voice analysis activity monitoring device 110 and The administrator analyzes the abnormality according to the status information through the voice analysis and the activity analysis in consideration of the object size by subdividing the activity according to the operation of the video analysis activity monitoring device 130. To provide that information.
  • the standard growth database 400 establishes the appropriate feed amount information for each flat body and monthly standard flounder weight increase information according to the water temperature by setting the water temperature of the tank and the reference value of DO to prevent the disease of the flounder through acoustic analysis and image analysis. By comparing and analyzing the standard growth information and the actual growth information, the special signs of the disease are sent out according to the difference between the feed intake and growth by growth rate.
  • the remote medical apparatus 500 is interlocked with the management server 200 when a suspicious object is generated through the sound and image analysis of the monitoring device 100 transmitted from the management server 200 through voice and video analysis.
  • a suspicious object is generated through the sound and image analysis of the monitoring device 100 transmitted from the management server 200 through voice and video analysis.
  • the remote management device 600 is interlocked with the remote medical device 500 when the additional diagnosis, prescription through the intensive observation through the remote control and photographing the state of the flounder through the remote medical device 500 is required.
  • the manager should be dispatched and managed through the preparation of findings on the condition of the flounder, the contents of request, the information on the farm, and the information on the tank.
  • the communication network 700 is linked to the food activity monitoring device 100, the management server 300, the manager terminal 600 and the user terminal 700, respectively, through the sound and image analysis of the disease according to the flounder It will provide a communication network for prevention.
  • the communication network 700 is a communication network which is a high-speed network of a large communication network capable of large capacity, long distance voice and data services, and may be a next-generation wired and wireless network for providing Internet or high-speed multimedia service.
  • the communication network 700 may be a synchronous mobile communication network or an asynchronous mobile communication network.
  • An example of an asynchronous mobile communication network is a communication network of a wideband code division multiple access (WCDMA) scheme.
  • WCDMA wideband code division multiple access
  • the communication network 700 may include a Radio Network Controller (RNC).
  • RNC Radio Network Controller
  • the WCDMA network may be an IP network based on a next generation communication network such as 3G LTE network, 4G network, or other IP.
  • the communication network 700 serves to mutually transmit signals and data between the monitoring apparatus 100, the management server 300, the manager terminal 800, the user terminal 900, and other systems.
  • the manager terminal 800 is linked with the communication network 700 according to the amount of activity based on the status information of the flounder analyzed for the audio signal and image information analyzed during the movement and leap of the flounder in the farm provided by the management server 200 Confirm the disease signs of the flounder based on the granular level value, or compare the standard growth information and the actual growth information stored in the standard growth database 400 and compare the feed intake by the growth rate and the difference according to the growth of the tank. Check for abnormalities.
  • the voice and image information is extracted through the monitoring device 100 and the information stored in the standard growth database 400 is analyzed in accordance with the disease early prediction and analysis device 200 in order to perform the corresponding analysis.
  • the transferred information to the management server 300.
  • the fish farm can extract the activity information of the fed food through the directional microphone, it is possible to extract the food activity information through the CCTV or underwater camera installed on the fish tank.
  • the disease prevention system analyzes the input food activity information, activity information, and standard growth database information comprehensively to determine whether a symptom of a disease is detected. In this case, early diagnosis of disease abnormality may be applied for each tank unit.
  • a symptom of a disease is detected, a warning is given to a fisheries disease expert, and a fisheries disease expert checks whether the disease is infected based on the reported information. Fisheries disease managers can visit the site and diagnose and prescribe the fishery disease manager near the target farm.
  • the manager of the manager terminal 800 or the user terminal 900 may be treated early in the tank based on the prescription of the fisheries disease manager, the early prediction and coping of the disease is possible.
  • FIG. 3 shows a detailed configuration of the monitoring device 100 of the flounder disease prevention system through the sound and image analysis according to the present invention, the monitoring device 100 according to the present invention is large, the voice analysis activity monitoring device 110, Image analysis activity monitoring device 130 is configured.
  • the voice analysis activity monitoring device 110 by using the ecological habits leap near the surface when hunting the flounder prey to catch the sound generated when jumping over the water to calculate the level of food activity in consideration of the individual size through the voice analysis and the standard It is configured to determine whether the feed amount appropriate for each object size stored in the growth database 400 is transmitted to the management server 300 when an abnormal symptom occurs.
  • the image analysis activity monitoring device 130 monitors the water tank through a CCTV camera or an underwater camera in the water tank to determine the level of movement according to the amount of activity of the flounder according to the feeding rate and specify the range according to the activity amount according to the level. It monitors whether there is any abnormality and supplies the captured image information to the management server.
  • FIG. 4 is a block diagram showing a detailed configuration of the audio analysis activity monitoring device 110 of the flounder disease prevention system through the sound and image analysis according to the present invention, the audio analysis activity monitoring device 110 according to the present invention
  • the control unit 111, the sound source collection unit 112, the pattern extraction unit 113, the feed amount calculation unit 114, the classification unit 115, the adjusting unit 116 and the transceiver unit 117 is configured to include. .
  • the control unit 111 is the prey of the flounder Using the ecological habits that leap closer to the surface during hunting, the sound generated when leaping over the surface of the water is captured, and the food activity level is calculated by considering the individual size through time-based voice analysis, and the food activity data classified by individual size is collected. By determining whether the feed amount is appropriate for each object size stored in 400 and controlling the overall operation of the voice analysis activity monitoring device 110 to be transmitted to the management server 300 when an abnormal symptom occurs.
  • the sound source collecting unit 112 collects the sound source according to the size and time of the flounder by capturing the sound generated during sleep leap according to the ecological habits of the flounder according to the control signal of the control unit 111, and the pattern extraction unit 113. ) Extracts the pattern according to the size of the flounder and the sound generated during the leap based on the sound source collected by the sound source collecting unit 112 in response to the control signal of the control unit 111.
  • the feed amount calculation unit 114 is based on the pattern collected and extracted by the sound source collection unit 112 in accordance with the control signal of the control unit 111 based on the size of the flounder by using the feeding activity of the flounder and Taking into account the activity of the leap, the feed rate is automatically calculated and set through the display.
  • the sorting unit 115 operates according to a control signal of the control unit 111 and is fed in consideration of the activity according to the movement and leap of the flounder based on the feed amount calculated and calculated by the feed amount calculating unit 114. It is configured to collect data of activity and level in stages from step 1 to step 10 according to the activity. In this case, the first stage is the lowest stage, the tenth stage is classified as the best, and if the food activity is less than five stages, it is judged as an abnormal symptom of the disease.
  • the control unit 116 operates according to the control signal of the control unit 111, the leveling unit calculating section 114 to calculate the leveling by considering the size of the object in order to calculate the amount of feeding to automatically calculate the size of the individual Allow this to be controlled.
  • the transmission / reception unit 117 is classified in the classification unit 115 in response to the control signal of the control unit 111 and transmits the state information to the management server 300 when determining the status information or abnormality indication according to the feeding activity. Or, it is configured to receive the appropriate feed amount information of the flat according to the disease prevention of the flounder through the voice analysis stored in the standard growth database 400, the standard flounder standard weight increase information per month.
  • FIG. 5 is a block diagram showing a detailed configuration of the image analysis activity monitoring device 130 of the flounder disease prevention system through the sound and image analysis according to the present invention, the image analysis activity monitoring device 130 according to the present invention
  • the microcomputer 131, the image collecting unit 132, the extracting unit 133, the sampling unit 134, the leveling unit 135, the linking unit 136, and the alarm unit 137 are configured to be included.
  • FIG. 5 illustrates a detailed configuration and operation of the image analysis activity monitoring device 130 of the flounder disease prevention system through sound and image analysis according to the present invention.
  • the image collecting unit 132 is a response to the control signal of the microcomputer 131 through the CCTV camera or the underwater camera installed in the tank according to the ecological habits of the flounder according to the movement of the water, the image data according to the movement activity in the water Capture and collect.
  • the extractor 133 extracts activity by detecting changes in the flounder in the tank and detecting objects in order to collect the flounder in the image collecting unit 132 according to the control signal of the microcomputer 131. Done.
  • the sampling unit 134 filters the wave movement of the tank or detects and quantifies moving objects in order to detect changes in the tank and detect objects in the tank according to the control signal of the microcomputer 131. According to the information, it is to be used as a detection signal for the extraction of the flounder activity.
  • the leveling unit 135 collects the amount of activity check image data according to the image information of the movement of the flounder imaged according to the activity of the flounder in the tank according to the control signal of the microcomputer 131 and leveling step by step in consideration of the individual size Be sure to check for signs of abnormality.
  • the first stage is the lowest stage and the tenth stage is classified as the best and the activity is judged as an abnormal symptom of the disease if the activity appears below the fifth stage.
  • the interlocking unit 136 is classified in the leveling unit 135 in response to the control signal of the microcomputer 131 and transmits the corresponding state information to the management server 300 when determining the state information or abnormal indication according to movement and activity. Or send a specialized institution to send out abnormal signs for the name according to the difference in growth by comparing the growth information of the growth and the growth information stored in the standard growth database 400 and the standard growth database (400)
  • the alarm unit 127 is a management server (200), administrator terminal (800), when abnormal signs occur according to the movement and activity of the flounder in the tank sent through the linkage unit 136 according to the control signal of the microcomputer 131,
  • the user terminal 900 is configured to send an alarm signal sound according to the state.
  • control unit 112 sound source collection unit
  • microcomputer 132 video collection unit
  • leveling unit 136 linkage

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Economics (AREA)
  • Marketing (AREA)
  • Agronomy & Crop Science (AREA)
  • Animal Husbandry (AREA)
  • Marine Sciences & Fisheries (AREA)
  • Mining & Mineral Resources (AREA)
  • Signal Processing (AREA)
  • Health & Medical Sciences (AREA)
  • Multimedia (AREA)
  • General Health & Medical Sciences (AREA)
  • Human Resources & Organizations (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Primary Health Care (AREA)
  • Strategic Management (AREA)
  • Tourism & Hospitality (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)
  • Emergency Alarm Devices (AREA)

Abstract

La présente invention concerne un système pour la prévention de maladies de poissons plats par l'analyse de sons et d'images. Le système selon la présente invention comporte: un dispositif de surveillance pour la réalisation d'analyse vocale par la capture de son généré lors des sauts des poissons plats au-dessus de la surface de l'eau, grâce aux habitudes écologiques des poissons plats sautant près de la surface de l'eau à la recherche de nourriture, ou pour la surveillance d'un réservoir d'eau au moyen d'une caméra CCTV sous-marine à l'intérieur du réservoir d'eau pour surveiller la quantité d'activité de poissons plats en repérant des signes anormaux se produisant dans les images recueillies; un serveur de gestion pour le stockage d'information d'analyse d'activité alimentaire par l'analyse vocale fournie depuis le réservoir d'eau de centre de pisciculture, d'information visuelle d'activités de poissons plats en fonction de signes anormaux, et d'information d'état d'historiques de diagnostic de maladies et de prescriptions, ou pour permettre la fourniture d'une quantité d'ingestion de nourriture selon des valeurs de mesure d'activité alimentaire de données tels que la durée d'alimentation, la quantité d'ingestion de nourriture, et le nombre d'instants d'alimentation, au moyen de valeurs de leurs niveaux et de leurs plages par rapport aux déplacements des poissons plats pour un signal sonore analysé lors des déplacements et des sauts selon la commande de dispositifs respectifs pour la prévention de maladies de poissons plats; un dispositif de thérapie à distance relié au serveur de gestion et se déplaçant à distance, par l'analyse vocale et visuelle, des caméras CCTV de divers réservoirs d'eau, disposées dans un centre de pisciculture, vers un endroit dans lequel des individus suspectés d'être atteints d'une maladie proviennent à travers l'analyse de sons et d'images, du dispositif de surveillance, transmis depuis le serveur de gestion, permettant ainsi un diagnostic pour la prévention de maladie par l'observation intense de l'état de poissons plats par la capture de photos et des fonctions de déplacement, de rotation et de zoom; et un dispositif de télégestion relié au dispositif de thérapie à distance et l'envoi d'un gestionnaire correspondant si un diagnostic et une prescription supplémentaire sont nécessaires selon l'observation intense à travers la capture de photos, par le dispositif de thérapie à distance, pour l'état des poissons plats, permettant ainsi la gestion des poissons plats par des références d'examen pour l'état des poissons plats, des détails requis, d'information de centre de pisciculture, et l'enregistrement d'anomalie d'information de réservoir d'eau. Par conséquent, la présente invention permet d'obtenir les avantages suivants: la mesure et l'analyse de données diverses telles qu'une information environnementale d'un réservoir d'eau en conformité avec l'élevage de poissons plats, des statistiques sur la quantité d'ingestion d'aliments, des niveaux d'activité alimentaire, d'information d'activité et d'information de reproduction, afin d'identifier si des poissons plats sont atteints de maladies sur la base des données diverses afin que l'information identifiée soit fournie à un expert, permettant la collecte de données d'historiques de maladies et de détails de prescription étant donné que la maladie de poisson peut être détectée et diagnostiquée à distance; et la génération de données standard sur d'autres maladies par la construction d'une pluralité d'éléments d'information d'environnement et de reproduction, d'information d'état de poissons individuels, et des données de diagnostic de maladie grâce à ce système.
PCT/KR2016/006320 2015-06-30 2016-06-15 Système pour la prévention de maladies de poissons plats par l'analyse de sons et d'images WO2017003113A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
KR10-2015-0092748 2015-06-30
KR1020150092748A KR101598898B1 (ko) 2015-06-30 2015-06-30 음향 및 영상분석을 통한 넙치 질병 예방 시스템

Publications (1)

Publication Number Publication Date
WO2017003113A1 true WO2017003113A1 (fr) 2017-01-05

Family

ID=55535588

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/KR2016/006320 WO2017003113A1 (fr) 2015-06-30 2016-06-15 Système pour la prévention de maladies de poissons plats par l'analyse de sons et d'images

Country Status (2)

Country Link
KR (1) KR101598898B1 (fr)
WO (1) WO2017003113A1 (fr)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108029599A (zh) * 2018-01-08 2018-05-15 江苏省农业科学院 一种蟹类疾病判别方法及诊断装置
CN112880735A (zh) * 2021-01-08 2021-06-01 上海海洋大学 一种用于对虾养殖池塘的水质与水面声学联合监测装置
CN114089663A (zh) * 2021-11-17 2022-02-25 广州市蓝得生命科技有限公司 智能喂食控制系统及控制方法
CN115136912A (zh) * 2021-03-31 2022-10-04 上海海洋大学 结合水质参数与行为发声的养殖虾类发病预测方法
EP4094576A4 (fr) * 2020-01-23 2024-01-24 Softbank Corp Programme d'estimation, procédé d'estimation et dispositif de traitement d'informations

Families Citing this family (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101814288B1 (ko) * 2016-08-17 2018-01-03 김영구 3차원 분석을 이용한 양식장 사료 급이 시스템 및 그 방법
KR102268029B1 (ko) * 2019-06-12 2021-06-22 주식회사 황토원 참여형 양어 시스템
KR102290647B1 (ko) * 2019-10-07 2021-08-18 블루오션영어조합법인 어류질병 감지장치 및 그 감지방법
KR102435311B1 (ko) * 2020-07-20 2022-08-23 주식회사 황토원 맞춤형 급이조절이 가능한 양어시스템
KR102274064B1 (ko) * 2020-08-11 2021-07-07 대한민국 스마트양식장을 위한 방법 및 장치
CN112763487B (zh) * 2020-12-09 2023-03-21 天津市水产研究所 一种水产动物高通量表型获取装置
KR102622793B1 (ko) * 2021-11-05 2024-01-09 주식회사 부상 양식 어류의 실시간 질병 감지시스템 및 그 방법
CN114323117B (zh) * 2021-11-17 2024-02-09 玉林师范学院 一种鱼类摄食强度评估方法
CN117557966B (zh) * 2024-01-09 2024-04-02 南京格瑞物联科技有限公司 基于监控图像识别的校园异常行为安全检测方法及系统

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH10313730A (ja) * 1997-05-15 1998-12-02 Hitachi Ltd 水棲生物用自動給餌装置
KR20120097960A (ko) * 2011-02-28 2012-09-05 원광대학교산학협력단 가축의 육질 향상 및 질병 예찰 시스템
KR20130042771A (ko) * 2011-10-19 2013-04-29 남궁성 원격 가축 모니터링 시스템 및 방법
KR20150000054A (ko) * 2013-06-21 2015-01-02 (주)진우소프트이노베이션 어류 양식 관리용 무인 잠수정
KR20150042364A (ko) * 2013-10-10 2015-04-21 주식회사 글로비트 먹이 급이 장치가 구비된 해상 가두리 관리 시스템

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH10313730A (ja) * 1997-05-15 1998-12-02 Hitachi Ltd 水棲生物用自動給餌装置
KR20120097960A (ko) * 2011-02-28 2012-09-05 원광대학교산학협력단 가축의 육질 향상 및 질병 예찰 시스템
KR20130042771A (ko) * 2011-10-19 2013-04-29 남궁성 원격 가축 모니터링 시스템 및 방법
KR20150000054A (ko) * 2013-06-21 2015-01-02 (주)진우소프트이노베이션 어류 양식 관리용 무인 잠수정
KR20150042364A (ko) * 2013-10-10 2015-04-21 주식회사 글로비트 먹이 급이 장치가 구비된 해상 가두리 관리 시스템

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108029599A (zh) * 2018-01-08 2018-05-15 江苏省农业科学院 一种蟹类疾病判别方法及诊断装置
EP4094576A4 (fr) * 2020-01-23 2024-01-24 Softbank Corp Programme d'estimation, procédé d'estimation et dispositif de traitement d'informations
CN112880735A (zh) * 2021-01-08 2021-06-01 上海海洋大学 一种用于对虾养殖池塘的水质与水面声学联合监测装置
CN112880735B (zh) * 2021-01-08 2023-12-05 上海海洋大学 一种将水质与水面声学联合监测装置用于对虾养殖池塘的监测方法
CN115136912A (zh) * 2021-03-31 2022-10-04 上海海洋大学 结合水质参数与行为发声的养殖虾类发病预测方法
CN115136912B (zh) * 2021-03-31 2024-05-10 上海海洋大学 结合水质参数与行为发声的养殖虾类发病预测方法
CN114089663A (zh) * 2021-11-17 2022-02-25 广州市蓝得生命科技有限公司 智能喂食控制系统及控制方法
CN114089663B (zh) * 2021-11-17 2024-03-22 广州市蓝得生命科技有限公司 智能喂食控制系统及控制方法

Also Published As

Publication number Publication date
KR101598898B1 (ko) 2016-03-03

Similar Documents

Publication Publication Date Title
WO2017003113A1 (fr) Système pour la prévention de maladies de poissons plats par l'analyse de sons et d'images
Dawkins et al. Optical flow, flock behaviour and chicken welfare
JP6949988B2 (ja) 領域特定方法、装置、記憶媒体及びプロセッサ
CN104008367B (zh) 基于计算机视觉的育肥猪的自动行为分析系统及方法
Wang et al. Real-time behavior detection and judgment of egg breeders based on YOLO v3
Colles et al. Monitoring chicken flock behaviour provides early warning of infection by human pathogen Campylobacter
Dawkins et al. Optical flow patterns in broiler chicken flocks as automated measures of behaviour and gait
US8677941B2 (en) System and methods for health monitoring of anonymous animals in livestock groups
Greenwood et al. New ways of measuring intake, efficiency and behaviour of grazing livestock
Condal et al. Seasonal rhythm in a Mediterranean coastal fish community as monitored by a cabled observatory
KR20180057785A (ko) 영상분석을 통한 어류 개체수 측정 시스템 및 그 측정방법
CN107148920A (zh) 一种猪只健康智能监测方法及其系统
CN104007733B (zh) 一种对农业集约化生产进行监控的系统及方法
Bergamini et al. Extracting accurate long-term behavior changes from a large pig dataset
CN114898405B (zh) 基于边缘计算的便携式肉鸡异常监测系统
WO2022010816A1 (fr) Détection d'éclaboussures pour notation d'éclaboussures de surface
KR20160141247A (ko) 넙치 습성을 이용한 음향분석 먹이활성도 분석 시스템
Winder et al. Patterns of nest attendance by female Greater Prairie-Chickens (Tympanuchus cupido) in northcentral Kansas
Lok et al. Prey ingestion rates revealed by back-mounted accelerometers in Eurasian spoonbills
CN115777560A (zh) 一种基于机器视觉分析技术的母猪智能化饲喂系统
CN105867239A (zh) 一种带有气体传感器的物联网前端设备及农场监管方法
WO2021085806A1 (fr) Procédé pour fournir un guide de gestion d'alimentation de bétail sur la base d'une norme de spécification de bétail
CN114358163A (zh) 一种基于孪生网络与深度数据的采食量监测方法及系统
Kaihilahti et al. Observation of cow behaviour in an automatic milking system using web-based video recording technology
KR20210064157A (ko) 어류의 질병여부를 판단하고 포획할 수 있는 어류질병 감지장치

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 16818146

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 16818146

Country of ref document: EP

Kind code of ref document: A1